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Spatial Data Science and Applications

Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business transactions of major IT companies such as Apple, Google, Microsoft, Amazon, Intel, and Uber, and even motor companies such as Audi, BMW, and Mercedes. Consequently, they are bound to hire more and more spatial data scientists. Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts. Additionally, this course could make learners realize the value of spatial big data and the power of open source software's to deal with spatial data science problems.
This course will start with defining spatial data science and answering why spatial is special from three different perspectives - business, technology, and data in the first week. In the second week, four disciplines related to spatial data science - GIS, DBMS, Data Analytics, and Big Data Systems, and the related open source software's - QGIS, PostgreSQL, PostGIS, R, and Hadoop tools are introduced together. During the third, fourth, and fifth weeks, you will learn the four disciplines one by one from the principle to applications. In the final week, five real world problems and the corresponding solutions are presented with step-by-step procedures in environment of open source software's.

What people are saying

The most comprehensive introductory cause in Geo-spatial Data science .

Good lead to Spatial Data Science Great course.

Good course that gives quality review on what spatial data science is and what can you do with it.

This course was very comprehensive, explanatory and introduced me to some complex applications of spatial data science.I found the practical problem applications of the last week most useful to integrate the concepts.

Awesome An excellent course, it was an introduction to spatial data science and all techniques that we might apply for different solutions.

This course gave us a valuable idea of spatial data science and the importance of the 4 main disciplines of this exciting field.

Very good overview of tools used for Spatial Data Science and explained their benefits and limitations for many real-life problems.

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